WeatherXM

Community-powered weather network, that rewards weather station owners and provides accurate weather services to weather-sensitive industries.

[Manolis Nikiforakis @nikil511]

“WEATHER PORN.” 🌦️

That’s how one meteorologist at the World Meteorological Technology Expo described FACT.

And yesterday there was a particularly satisfying plot twist:

Michael Bührer from @meteoblue presented @WeatherXM FACT on stage. ���

We’re evaluating 40+ forecasting models against observations from 8,000+ WeatherXM ground stations, across the entire 2025 dataset.

1.83 BILLION hourly forecasts!

Global rankings.
Country rankings.
Per-station results.
Temperature, humidity, wind and rain.
Every forecast horizon — same day, +1, +2, +3, +4, +5 and +6 days ahead.

One important caveat:

WeatherXM MOSAIC and meteoblue mLM sit at the top, but they’re not playing exactly the same game as the other models. They use station observations as part of their post-processing/training, while the other models are evaluated without knowledge of our stations.

So this isn’t meant to prove that MOS “beats” global weather models.

It shows something more commercially useful:

👉 What accuracy should a customer actually expect at a physical location when buying an end-to-end observation + forecasting solution from us?

The rest of the models compete on equal terms.

And the results are spicy. 🌶️

https://t.co/DNmJuBM9UV

#MTX26 #TECO2026

[Manolis Nikiforakis @nikil511]

If anyone wants to talk forecast accuracy tracking and which is the best model per variable, horizon for every single location we have a weather station, I am around.
We published 2025 results comparing 40+ models, check it out at:
https://t.co/fIxr1k0oTK

@WeatherXM

[WeatherXM @WeatherXM]

@TTN_ATH @thethingsntwrk @codebender_cc ...10 years later, we had to build our own cloud flasher
https://t.co/39wdw04ZIg

[WeatherXM @WeatherXM]

@Psalteric ...and can get live weather by connecting to our global network of LoRa mesh off-grid weather stations!
https://t.co/c2KDbBVGcd

[WeatherXM @WeatherXM]

@Brendansha52613 @a16z We had major challenges in organizing a new targeted rollout with current market conditions, so we paused it. We will announce ways to make it right to NFT holders in the coming days.

[WeatherXM @WeatherXM]

AI is blind without physical ground truth.

@a16z’s $1.1B Machine Age Fund calls for efficient edge devices linking AI to the world.

WeatherXM builds the sensing layer: 9,500+ stations. D2 adds LoRa mesh when WiFi, Cellular are not there.

D2:
https://t.co/yEv8jErHZl

a16z:
https://t.co/3eQs0jQm8m

[a16z @a16z]

https://t.co/rohq8Li7GK

[WeatherXM @WeatherXM]

This isn’t a greenfield idea.

WeatherXM already operates a 9,500+ station network with quality-scored, location-verified observations.

D2 extends that infrastructure into places where Wi-Fi, cellular service and continuous external power cannot be assumed.

https://t.co/n6pbc716iB

[WeatherXM @WeatherXM]

@a16z Full weather sensing. Meshtastic, MeshCore or private links. Local display and history permanent storage. MQTT + REST. No mandatory cloud for core operation.

D2 is built to make remote ground truth available to people, applications and, increasingly, machines.

[a16z @a16z]

https://t.co/rohq8Li7GK

[WeatherXM @WeatherXM]

��We need power efficient edge devices for AI to explore and interact with the world.” — @a16z

Software AI is blind without physical ground truth.

WeatherXM is building the autonomous sensor infrastructure for the Machine Age: 100% solar, local-first, and interconnected over open LoRa mesh

D2 Mesh is coming to @crowd_supply:
https://t.co/c6ftZcKgCQ

Ground-truth physical infrastructure is the next frontier:

🌐 10,000+ deployed weather stations globally
📡 Autonomous Sub-GHz LoRa mesh
⚡ 100% solar & battery autonomy
🔒 Cryptographic data provenance signed on-device

Physical hardware engineered for the post-cloud era.

[WeatherXM @WeatherXM]

https://t.co/J3U2v0zClW

[WeatherXM @WeatherXM]

AI is hitting the physical reality wall. Models can reason, but they cannot sense microclimates, grid strain, or wildfires without ground-truth physical machines.

We are building the sensor layer for the Machine Age.

WeatherXM D2 Mesh is coming soon on @crowd_supply
https://t.co/yEv8jErHZl

Solar-powered, full atmospheric sensing (wind, gust, rain, solar radiation, temperature, humidy, pressure), multi-hop off-grid LoRa mesh capable, to deploy in areas without WiFi or Cellular coverage. #meshtastic #meshcore

[WeatherXM @WeatherXM]

DePINs are already building the Machine Age

[a16z @a16z]

https://t.co/rohq8Li7GK

[WeatherXM @WeatherXM]

AI is hitting the physical reality wall. Models can reason, but they cannot sense microclimates, grid strain, or wildfires without ground-truth physical machines.

We are building the sensor layer for the Machine Age.

WeatherXM D2 Mesh is coming soon on @crowd_supply
https://t.co/yEv8jErHZl

Solar-powered, full atmospheric sensing (wind, gust, rain, solar radiation, temperature, humidy, pressure), multi-hop off-grid LoRa mesh capable, to deploy in areas without WiFi or Cellular coverage. #meshtastic #meshcore

[ClawQueue @clawqueue]

@SpotifyEng @ClaudeDevs @GeminiApp @OpenAI @Spotify ClawQueue is our open-source take in @WeatherXM GitHub-native queues, reviews and artifacts; company workflows; an OKF-structured company Super Wiki exposed over MCP; and a personal squad of persistent agents for every employee, each with distinct roles, personalities and memory.

[WeatherXM @WeatherXM]

@a16zcrypto @cdixon The natural way for then to transact?
Consuming DePIN data with cryptographic proofs on chain !
The agentic problem is not "how to use visa" but how to trust the data!
@cdixon

[Manolis Nikiforakis @nikil511]

AI agents are becoming economic actors. They discover services, negotiate, pay, execute, and settle through open networks. Identity and reputation rails are emerging through standards like ERC-8004. Payment rails are emerging through x402. But the agent economy is missing a critical layer:
Trusted physical-world evidence.
Before an agent can route a shipment, dispatch energy, price insurance, settle a prediction market, trigger a credit covenant, or execute a climate-linked contract, it needs to know: What happened? Where? When? Who measured it? How fresh is it? How reliable is it? Is confidence high enough for this action?

@WeatherXM has turned decentralized environmental telemetry into machine-readable evidence bundles: signed observations, station identity, location, timestamp, freshness, quality score, nearby-station agreement, historical reputation, confidence level, and settlement context.

The broader DePIN ecosystem is proof-carrying spatial intelligence for the cybernetic economy.

But the deeper problem is that trustworthy physical-world data does not appear automatically. It requires human coordination: hardware must be deployed in the right places, by credible local operators, with the right incentives, verification, maintenance, and logistics. That is where WeatherXM's targeted rollouts experience, in fundraising campaigns and human coordination for hardware network expansion, becomes strategically important.

[Vangelis @VangelisAndr]

Athens had a moment last week.

I spent three days at @PanatheneaFest 2026, and the takeaway is simple: Athens is now on the global tech map, a place serious people choose rather than tolerate.

Panathēnea is a not-for-profit, run almost entirely by students and recent graduates.

That volunteer team still pulled in founders from ElevenLabs, Bolt, Runway, Airwallex, Deel and Plum; partners from Sequoia, Index, Atomico, Balderton, Northzone, 500 Global, PayPal Ventures and Dawn; operators from OpenAI, NVIDIA, Google, Microsoft and Qualcomm; and European deeptech founders from Proxima Fusion, Isar Aerospace and Open Cosmos.

It also brought Greeks home, @real_ioannis (Reflection, ex-DeepMind) and @agermanidis (Runway).

And teams are putting down roots here. @dionyziz' @CommonPrefix (~40 people), @poddotnetwork, and @Mysten_Labs Sui hub on the crypto-infra side; @YSmaragdakis' Dedaub on smart-contract security. Home-grown scaleups are real too: https://t.co/EocWj9FvZf (Greece's payments unicorn), Workable, Blueground, agritech-AI Augmenta (and more).

I spoke at the Common Prefix × Pod side event on "Blockchain and Trust Technologies," alongside @sagrawal (Pod) and @nikil511, CEO of @WeatherXM. We got into the AI × crypto thread that's stopped being hand-wavy: decentralized training.

You no longer need everyone in the same data center to train a frontier model. ~99% of a model's weights are bit-identical between training steps, so you ship only the ~1% that changed.

@Hevalon's team at Covenant formalized this (their PULSE paper) and pre-trained Covenant-72B with trustless peers over the open internet. @huggingface then shipped the same trick in the open. Crypto's coordination layer + a ~100× smaller payload = a big model trained across machines no single entity controls.

The other shift I keep noticing: most people still use agents for coding, or as a Google alternative. What's coming is general-purpose agents that research, draft, plan and do your work for you, and the hardware already knows it.

The silicon being built isn't sized for one assistant; it's sized for an agent fleet.

Two days ago NVIDIA announced the DGX Station for Windows: a GB300 ARM desktop with up to 748GB of unified memory, built to run hundreds of concurrent agents on-prem. You don't build that for a chatbot you visit.

If you don't have 5, 10, 50 agents running at all times, local and cloud, doing evals, auto-research, quietly improving work you've already done, you're probably not using AI properly yet.

We're early. But the people building the hardware have placed their bet.

To the Panathēnea team: thank you, and bravo. See you in 2027. 🇬🇷

[WeatherXM @WeatherXM]

The rollout of the stations of Beaver NFTs is behind schedule. We are working on a new platform to coordinate with deployers on very specific station locations and this makes everything more challenging and slow. We want to avoid vague placement of stations for the sake of rewards. Your support via the NFT campaign is much appriciated and will eventually unlock fair rewards and services for you.

[WeatherXM @WeatherXM]

WeatherXM is entering a new phase.

As one of the earlier DePIN networks, we’ve faced many of the hard problems first: useful coverage, targeted deployment, sustainable rewards, real-world demand, and coordinating physical infrastructure at scale.

1) Now we’re evolving. We are redesigning WXM tokenomics and the WeatherXM reward mechanism.

2) At the same time, we’re refactoring core infrastructure for the next generation of WeatherXM services, including AI-powered products. Some short-term turbulence may occur across rewards, the PRO API, and mobile apps as we upgrade the system.

3) We are also returning to our foundations: DEX-first, more open source, and stronger real-world utility.
WXM will no longer be listed on Gate, while DEX pools remain operational.

4) We’re also preparing new WeatherXM hardware with open firmware, including mesh / Meshtastic-compatible capabilities. To prepare for this next generation, we’ll launch a discount campaign for current-generation stations while stock lasts.

The first era proved a community can build a global weather network. The next era is about making it more useful, open, resilient, and sustainable.

https://t.co/h32nx5B79u